Metoda badania jakości energii wykorzystująca model MVR i statystykę Cp i Rp

Asadollah Kazemi; Azah Mohamed; Hussain Shareef; Hadi Zayandehroodi

Metoda badania jakości energii wykorzystująca model MVR i statystykę Cp i Rp

Translated title of the contribution: An improved power quality monitor placement method using MVR model and combine Cp and Rp statistical indices

Asadollah Kazemi, Azah Mohamed, Hussain Shareef, Hadi Zayandehroodi

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Power Quality Monitors (PQM) are required to be installed at many buses in a power network in order to assess disturbances such as voltage sags. However, installation of PQMs at all buses considered in the system is uneconomical. This paper presents an improved algorithm to PQM placement using the Multivariable Regression (MVR) model and the C _p and R _p statistics. The IEEE 30 bus test system is used to illustrate the effectiveness of the proposed MVR method and compared with the covering and packing, and the monitor reach area based methods.

Translated title of the contribution	An improved power quality monitor placement method using MVR model and combine Cp and Rp statistical indices
Original language	Undefined/Unknown
Pages (from-to)	205-209
Number of pages	5
Journal	Przeglad Elektrotechniczny
Volume	88
Issue number	8
Publication status	Published - 2012
Externally published	Yes

Keywords

Cp statistic index
Multivariable Regression
Power Quality Monitor Placement
Rp index

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Metoda badania jako{\'s}ci energii wykorzystuj{\c a}ca model MVR i statystyk{\c e} Cp i Rp",

abstract = " Power Quality Monitors (PQM) are required to be installed at many buses in a power network in order to assess disturbances such as voltage sags. However, installation of PQMs at all buses considered in the system is uneconomical. This paper presents an improved algorithm to PQM placement using the Multivariable Regression (MVR) model and the C p and R p statistics. The IEEE 30 bus test system is used to illustrate the effectiveness of the proposed MVR method and compared with the covering and packing, and the monitor reach area based methods. ",

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T1 - Metoda badania jakości energii wykorzystująca model MVR i statystykę Cp i Rp

AU - Kazemi, Asadollah

AU - Mohamed, Azah

AU - Shareef, Hussain

AU - Zayandehroodi, Hadi

PY - 2012

Y1 - 2012

N2 - Power Quality Monitors (PQM) are required to be installed at many buses in a power network in order to assess disturbances such as voltage sags. However, installation of PQMs at all buses considered in the system is uneconomical. This paper presents an improved algorithm to PQM placement using the Multivariable Regression (MVR) model and the C p and R p statistics. The IEEE 30 bus test system is used to illustrate the effectiveness of the proposed MVR method and compared with the covering and packing, and the monitor reach area based methods.

AB - Power Quality Monitors (PQM) are required to be installed at many buses in a power network in order to assess disturbances such as voltage sags. However, installation of PQMs at all buses considered in the system is uneconomical. This paper presents an improved algorithm to PQM placement using the Multivariable Regression (MVR) model and the C p and R p statistics. The IEEE 30 bus test system is used to illustrate the effectiveness of the proposed MVR method and compared with the covering and packing, and the monitor reach area based methods.

KW - Cp statistic index

KW - Multivariable Regression

KW - Power Quality Monitor Placement

KW - Rp index

UR - http://www.scopus.com/inward/record.url?scp=84874614696&partnerID=8YFLogxK

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M3 - Article

AN - SCOPUS:84874614696

SN - 0033-2097

VL - 88

SP - 205

EP - 209

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 8

ER -

Metoda badania jakości energii wykorzystująca model MVR i statystykę Cp i Rp

Abstract

Keywords

ASJC Scopus subject areas

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